/*=========================================================================
 *
 *  Copyright Insight Software Consortium
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/
#ifndef itkJoinSeriesImageFilter_hxx
#define itkJoinSeriesImageFilter_hxx

#include "itkJoinSeriesImageFilter.h"
#include "itkProgressReporter.h"
#include "itkImageAlgorithm.h"

namespace itk
{
template <typename TInputImage, typename TOutputImage>
JoinSeriesImageFilter<TInputImage, TOutputImage>::JoinSeriesImageFilter()

{
  this->DynamicMultiThreadingOn();
}

template <typename TInputImage, typename TOutputImage>
void
JoinSeriesImageFilter<TInputImage, TOutputImage>::VerifyInputInformation() ITKv5_CONST
{

  Superclass::VerifyInputInformation();

  // Verify that all input have the same number of components

  typename InputImageType::ConstPointer image = this->GetInput();

  if (image.IsNull())
  {
    itkExceptionMacro(<< "Input not set as expected!");
  }

  const unsigned int numComponents = image->GetNumberOfComponentsPerPixel();

  typename Superclass::DataObjectPointerArraySizeType idx = 1;

  for (; idx < this->GetNumberOfIndexedInputs(); ++idx)
  {
    image = this->GetInput(idx);

    // If the input was not set it could still be null
    if (image.IsNull())
    {
      // An invalid requested region exception will be generated later.
      continue;
    }


    if (numComponents != image->GetNumberOfComponentsPerPixel())
    {
      itkExceptionMacro(<< "Primary input has " << numComponents << " numberOfComponents "
                        << "but input " << idx << " has " << image->GetNumberOfComponentsPerPixel() << "!");
    }
  }
}

template <typename TInputImage, typename TOutputImage>
void
JoinSeriesImageFilter<TInputImage, TOutputImage>::GenerateOutputInformation()
{
  // Do not call the superclass' implementation of this method since
  // this filter allows the input the output to be of different dimensions

  // Get pointers to the input and output
  typename Superclass::OutputImagePointer     outputPtr = this->GetOutput();
  typename Superclass::InputImageConstPointer inputPtr = this->GetInput();

  if (!outputPtr || !inputPtr)
  {
    return;
  }

  // Set the output image largest possible region.  Use a RegionCopier
  // so that the input and output images can be different dimensions.
  OutputImageRegionType outputLargestPossibleRegion;
  this->CallCopyInputRegionToOutputRegion(outputLargestPossibleRegion, inputPtr->GetLargestPossibleRegion());

  // for the new dimension, assuming the index has been set 0.
  outputLargestPossibleRegion.SetSize(static_cast<unsigned int>(InputImageDimension),
                                      static_cast<SizeValueType>(this->GetNumberOfIndexedInputs()));

  outputPtr->SetLargestPossibleRegion(outputLargestPossibleRegion);

  // Set the output spacing and origin
  const ImageBase<InputImageDimension> * phyData;

  phyData = dynamic_cast<const ImageBase<InputImageDimension> *>(this->GetInput());

  if (phyData)
  {
    // Copy what we can from the image from spacing and origin of the input
    // This logic needs to be augmented with logic that select which
    // dimensions to copy
    unsigned int                                 ii;
    const typename InputImageType::SpacingType & inputSpacing = inputPtr->GetSpacing();
    const typename InputImageType::PointType &   inputOrigin = inputPtr->GetOrigin();

    typename OutputImageType::SpacingType outputSpacing;
    typename OutputImageType::PointType   outputOrigin;

    // Copy the input to the output and fill the rest of the
    // output with zeros.
    for (ii = 0; ii < InputImageDimension; ++ii)
    {
      outputSpacing[ii] = inputSpacing[ii];
      outputOrigin[ii] = inputOrigin[ii];
    }
    for (; ii < OutputImageDimension; ++ii)
    {
      outputSpacing[ii] = 1.0;
      outputOrigin[ii] = 0.0;
    }

    // For the new dimension
    outputSpacing[InputImageDimension] = this->GetSpacing();
    outputOrigin[InputImageDimension] = this->GetOrigin();

    // Set the spacing and origin
    outputPtr->SetSpacing(outputSpacing);
    outputPtr->SetOrigin(outputOrigin);
    //
    // Copy the direction cosines from the input to the output.
    // On join, the output dim is always >= input dim
    using InputDirectionType = typename InputImageType::DirectionType;
    using OutputDirectionType = typename OutputImageType::DirectionType;
    InputDirectionType  inputDir = inputPtr->GetDirection();
    unsigned int        inputdim = InputImageType::GetImageDimension();
    unsigned int        outputdim = OutputImageType::GetImageDimension();
    OutputDirectionType outputDir = outputPtr->GetDirection();
    for (unsigned int i = 0; i < outputdim; i++)
    {
      for (unsigned int j = 0; j < outputdim; j++)
      {
        if (j < inputdim && i < inputdim)
        {
          outputDir[i][j] = inputDir[i][j];
        }
        else
        {
          outputDir[i][j] = i == j ? 1.0 : 0.0;
        }
      }
    }
    outputPtr->SetDirection(outputDir);
  }
  else
  {
    // Pointer could not be cast back down
    itkExceptionMacro(<< "itk::JoinSeriesImageFilter::GenerateOutputInformation "
                      << "cannot cast input to " << typeid(ImageBase<InputImageDimension> *).name());
  }

  // Support VectorImages by setting number of components on output.
  const unsigned int numComponents = inputPtr->GetNumberOfComponentsPerPixel();
  if (numComponents != outputPtr->GetNumberOfComponentsPerPixel())
  {
    outputPtr->SetNumberOfComponentsPerPixel(numComponents);
  }
}

template <typename TInputImage, typename TOutputImage>
void
JoinSeriesImageFilter<TInputImage, TOutputImage>::GenerateInputRequestedRegion()
{
  Superclass::GenerateInputRequestedRegion();

  if (!this->GetOutput())
  {
    return;
  }
  OutputImageRegionType outputRegion = this->GetOutput()->GetRequestedRegion();
  IndexValueType        begin = outputRegion.GetIndex(InputImageDimension);
  IndexValueType        end = begin + outputRegion.GetSize(InputImageDimension);
  for (IndexValueType idx = 0; idx < this->GetNumberOfIndexedInputs(); ++idx)
  {
    InputImagePointer inputPtr = const_cast<InputImageType *>(this->GetInput(idx));
    if (!inputPtr)
    {
      // Because DataObject::PropagateRequestedRegion() allows only
      // InvalidRequestedRegionError, it's impossible to write simply:
      // itkExceptionMacro(<< "Missing input " << idx);
      InvalidRequestedRegionError e(__FILE__, __LINE__);
      e.SetLocation(ITK_LOCATION);
      e.SetDescription("Missing input.");
      e.SetDataObject(this->GetOutput());
      throw e;
    }

    InputImageRegionType inputRegion;
    if (begin <= idx && idx < end)
    {
      this->CallCopyOutputRegionToInputRegion(inputRegion, outputRegion);
    }
    else
    {
      // Tell the pipeline that updating this input is unncesseary
      inputRegion = inputPtr->GetBufferedRegion();
    }
    inputPtr->SetRequestedRegion(inputRegion);
  }
}

template <typename TInputImage, typename TOutputImage>
void
JoinSeriesImageFilter<TInputImage, TOutputImage>::DynamicThreadedGenerateData(
  const OutputImageRegionType & outputRegionForThread)
{
  OutputImageRegionType outputRegion = outputRegionForThread;
  outputRegion.SetSize(InputImageDimension, 1);

  InputImageRegionType inputRegion;
  this->CallCopyOutputRegionToInputRegion(inputRegion, outputRegionForThread);

  const IndexValueType begin = outputRegionForThread.GetIndex(InputImageDimension);
  const IndexValueType end = begin + outputRegionForThread.GetSize(InputImageDimension);


  TOutputImage * output = this->GetOutput();

  for (IndexValueType idx = begin; idx < end; ++idx)
  {
    outputRegion.SetIndex(InputImageDimension, idx);
    ImageAlgorithm::Copy(this->GetInput(idx), output, inputRegion, outputRegion);
  }
}

template <typename TInputImage, typename TOutputImage>
void
JoinSeriesImageFilter<TInputImage, TOutputImage>::PrintSelf(std::ostream & os, Indent indent) const
{
  Superclass::PrintSelf(os, indent);

  os << indent << "Spacing: " << m_Spacing << std::endl;
  os << indent << "Origin: " << m_Origin << std::endl;
}
} // end namespace itk

#endif
